REED ELSEVIER : Recently launched Lexis Advance features next generation semantic...

Deploying leading edge technology, Lexis Advance empowers legal professionals with a significantly more intelligent legal research solution

includes content enriched using SRA's industry-leading NetOwl® text and entity analytics technology, delivering a more sophisticated semantic search capability to enable legal professionals to conduct better, faster and more relevant research.

As one key part of the Lexis Advance application, NetOwl's entity and relationship extraction capabilities semantically enrich the vast amounts of text-based content offered to legal professional customers. Combining the semantic information extracted from text by NetOwl with LexisNexis identity resolution technology significantly improves accuracy when surfacing relevant content for customers researching specific entities such as attorneys and law firms. NetOwl's content processing provides more sophisticated discovery capabilities and advanced answer filtering, enhancing the ability for users to quickly locate the most relevant documents and efficiently analyze legal information.

NetOwl seamlessly integrates with the unique High-Performance Computer Cluster technology from LexisNexis, which is at the center of the Lexis Advance platform, analyzing massive amounts of text in minimal time.

"LexisNexis is dedicated to helping legal professionals work more efficiently and intelligently to find the trusted information they need to do their jobs," said Jim Wanke, vice president of Content Shared Services at LexisNexis Legal & Professional. "Integrating NetOwl-enriched content into the newest version of Lexis Advance is an important component in achieving that."

"We are extremely excited to see NetOwl leveraged with LexisNexis content in the latest version of Lexis Advance, providing users with new and more powerful ways to perform legal research," said Dr. Chinatsu Aone, vice president, Text and Entity Analytics at SRA. "The collaboration provides legal professionals and others with a unique solution that sets the bar for advanced unstructured data analysis."

NetOwl provides industry-leading text and entity analytics products that address big data challenges in a highly scalable fashion. It offers automatic identification and extraction of semantic concepts from any text data source in multiple languages, as well as intelligent geotagging of unstructured data. NetOwl offers the largest semantic ontology available commercially, including not only a variety of entities but also a wide range of relationship and event concepts in many domains.

About LexisNexis Legal & Professional
) is a leading global provider of content and technology solutions that enable professionals in legal, corporate, tax, government, academic and non-profit organizations to make informed decisions and achieve better business outcomes.  As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. Today, LexisNexis Legal & Professional harnesses leading-edge technology and world-class content, to help professionals work in faster, easier and more effective ways. Through close collaboration with its customers, the company ensures organizations can leverage its solutions to reduce risk, improve productivity, increase profitability and grow their business. Part of Reed Elsevier, LexisNexis Legal & Professional serves customers in more than 100 countries with 10,000 employees worldwide.

About SRA International, Inc.
) is dedicated to solving complex problems of global significance for clients in national security, civil government, global health, and the commercial sector. SRA employs approximately 7,000 employees serving clients from its headquarters in Fairfax, Va., and offices around the world. NetOwl () is a family of industry-leading text and entity analytics products. NetOwl is offered by SRA and is widely used by both government and the private sector. NetOwl is a registered trademark owned by SRA International, Inc.